Borrowing it
Nothing to install: this file belongs to ducnguyen67201/FeatherlaneAI. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ducnguyen67201/FeatherlaneAI/main/AGENTS.mdgit clone --depth 1 https://github.com/ducnguyen67201/FeatherlaneAIWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/ducnguyen67201/featherlaneai/agents-md)<a href="https://agentmods.dev/instructions/ducnguyen67201/featherlaneai/agents-md"><img src="https://agentmods.dev/badge/instructions/ducnguyen67201/featherlaneai/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/ducnguyen67201/featherlaneai/agents-md"><img src="https://agentmods.dev/badge/instructions/ducnguyen67201/featherlaneai/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.04372 | $0.04372 |
| Opus 5 | $0.02186 | $0.02186 |
| Sonnet 5 | $0.00874 | $0.00874 |
| Haiku 4.5 | $0.00437 | $0.00437 |
Grade A, and why
FeatherlaneAI AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 315 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Repository Agent Instructions
These instructions apply to all AI coding agents working in this repository.
Skills
- graphify (
~/.claude/skills/graphify/SKILL.md) — any input (code, docs, papers, images) → knowledge graph. Trigger:/graphify
When the user types /graphify, invoke the Skill tool with skill: "graphify" before doing anything else.
Architecture: Rust Backend Is the Source of Truth
The dashboard web app must not become a second backend. Featherlane AI has one durable/runtime backend: the Rust service in crates/tl-server, backed by crates/tl-storage. The Next.js app in apps/web is a UI and same-origin proxy layer only.
Authoritative backend ownership:
- Rust HTTP API:
crates/tl-server - Rust durable storage:
crates/tl-storage - Rust wire contracts:
crates/tl-core - Web dashboard/proxy:
apps/web
Target architecture:
source of truth
|
v
+---------+ +----------------------+ +----------------------+
| Browser | -----> | Next.js dashboard UI | -----> | Next API proxy |
| | | apps/web pages | | apps/web/app/api/* |
+---------+ +----------------------+ +----------+-----------+
|
| HTTP /v1/*
v
+----------+-----------+
| Rust API server |
| crates/tl-server |
+----------+-----------+
|
+---------------------------+---------------------------+
| | |
v v v
+----------+-----------+ +----------+-----------+ +----------+-----------+
| Runtime guard logic | | Durable storage | | Wire contracts |
| policy evaluation | | crates/tl-storage | | crates/tl-core |
+----------------------+ +----------+-----------+ +----------------------+
|
v
+----------+-----------+
| Postgres / runtime |
| persistence |
+----------------------+
Forbidden source-of-truth path for guardrail/runtime data:
+----------------------+ +----------------------+
| Next API route | -X---> | Web DB / Drizzle |
| apps/web/app/api/* | | runtime ownership |
+----------------------+ +----------------------+
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 315 lines · 4,372 tokens per session scan A e89d8830024d
FeatherlaneAI AGENTS.md is an instructions file published in the GitHub repository ducnguyen67201/FeatherlaneAI (22 stars, last pushed yesterday), licensed Apache-2.0. It adds 4,372 tokens to every session, about $0.0219 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.